collections3

"""
3. Generate a list of X random integer numbers from 1 to 1000 (X must
be entered from keyboard). Then, create a dictionary of next structure:

{
	“even”: 563,
	“odd”: 437,
	“avg”: 586.43,
	“max”: 999,
	“min”: 2
}

Print the dictionary to the screen.

"""
from random import randint
import statistics as st
import matplotlib.pyplot as plt

number=input("Enter number: ")
randnumbers=[]
number=int(number)
for i in range(number):
    randnumbers.append(randint(1,1000))

#my stupid solution
# even=0
# odd=0
# for item in randnumbers:
#     if item %2 == 0:
#         even +=1
#     else:
#         odd +=1

#better one, inspired from internet
evennumbers=[num for num in randnumbers if num % 2 == 0]
even=len(evennumbers)
odd=len(randnumbers)-even

#print(min(randnumbers),max(randnumbers),st.mean(randnumbers), even, odd)
dictionary={
    "even" : even,
    "odd"  : odd,
    "avg"  : st.mean(randnumbers),
    "max"  : max(randnumbers),
    "min"  : min(randnumbers)
}
print(dictionary)

plt.hist(randnumbers, bins=100, label='all')
plt.hist(evennumbers, bins=100, label='even')
plt.axvline(st.mean(randnumbers), color='k', linestyle='dashed',linewidth='1')
min_ylim, max_ylim = plt.ylim()
plt.text(st.mean(randnumbers)*1.05, max_ylim*0.55,'Mean: {:.2f}'.format(st.mean(randnumbers)))
plt.text(st.mean(randnumbers)*0.1, max_ylim*0.1,'Even: {:}'.format(even))
plt.text(st.mean(randnumbers)*0.1, max_ylim*0.55,'Odd: {:}'.format(odd))
plt.legend(loc='upper right')
plt.xlabel("number")
plt.ylabel("occurence")
plt.show()